Capgemini

Global consulting, technology services, outsourcing

AI Development FDE

AI Application Engineering +1Updated on Nov 14

Full-timeDubai - United Arab EmiratesNo salary listedIn-person

About the Job

Requirements

Requires 5–8 years of experience in software, data, AI, cloud development, or automation.
Requires hands-on experience building generative AI, agentic harness, retrieval-augmented generation, chatbot, artificial intelligence/machine learning, or enterprise integration solutions.
Requires Python and frontend development capability, plus experience with application programming interfaces, software development kits, and source control.
Requires experience working in agile teams and communicating technical trade-offs clearly.
Requires Python and experience with FastAPI or a similar backend framework and frontend frameworks.
Requires strong experience in Python and modern frontend development using React or Next.js.
Requires familiarity with Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Machine Learning fundamentals.
Requires experience with retrieval-augmented generation pipelines, embeddings, vector search, prompt engineering, and evaluation.
Requires experience with agent frameworks, orchestration, tool calling, and workflow automation.
Requires experience with application programming interfaces, databases, message queues, files, and enterprise connectors.
Requires experience with Git, continuous integration and continuous delivery, containers, configuration, and automated testing.
Requires experience with artificial intelligence quality practices, including test datasets, regression checks, hallucination checks, groundedness, latency, and cost.
Requires experience implementing responsible artificial intelligence practices, including content filters, guardrails, logging, and human review.

Responsibilities

Develop and integrate enterprise artificial intelligence solutions, including generative artificial intelligence applications, retrieval-augmented generation pipelines, artificial intelligence agents, copilots, automation workflows, and reusable artificial intelligence platform components.
Build generative artificial intelligence applications, retrieval-augmented generation components, prompt flows, data connectors, application programming interfaces, and artificial intelligence agents.
Design and develop responsive user interfaces using React, Next.js, TypeScript, HTML5, CSS3, and modern user interface component libraries such as Material UI or Tailwind CSS.
Implement vector indexes, embeddings, document processing, and knowledge grounding using Azure AI services.
Create proofs of concept, minimum viable products, and reusable accelerators for client demonstrations and delivery mobilization.
Support testing, evaluation, groundedness checks, performance tuning, monitoring, and cost optimization.
Document designs, deployment steps, and reusable implementation patterns.
Collaborate with consultants, product owners, architects, user experience designers, and governance specialists.

My Role

Develop and integrate enterprise AI solutions, including GenAI apps, RAG pipelines, AI agents, copilots, automation workflows and reusable AI platform components.
Build GenAI apps, RAG components, prompt flows, data connectors, APIs and AI agents.
Design and develop responsive user interfaces using React, Next.js, TypeScript, HTML5, CSS3, and modern UI component libraries (Material UI, Tailwind CSS or similar).
Implement vector indexes, embeddings, document processing and knowledge grounding using Azure AI services.
Create PoCs, MVPs and reusable accelerators for client demonstrations and delivery mobilization.
Support testing, evaluation, groundedness checks, performance tuning, monitoring and cost optimization.
Document designs, deployment steps and reusable implementation patterns.
Collaborate with consultants, product owners, architects, UX designers and governance specialists.

Experience and Skills Required

5-8 years in software, data, AI, cloud development or automation.
Hands-on work building GenAI, Agentic Harness, RAG, chatbot, AI/ML or enterprise integration solutions.
Good Python and frontend capability plus APIs, SDKs and source control.
Experience in agile teams and ability to communicate technical trade-offs clearly.
Python, FastAPI or similar backend and frontend frameworks.
Strong experience in Python and modern frontend development using React or Next.js.
Azure OpenAI, Azure AI Foundry, Azure AI Search and Azure ML fundamentals.
RAG pipelines, embeddings, vector search, prompt engineering and evaluation.
Agent frameworks, orchestration, tool calling and workflow automation.
APIs, databases, message queues, files and enterprise connectors.
Git, CI/CD, containers, configuration and automated testing.
AI quality: test datasets, regression checks, hallucination checks, groundedness, latency and cost.
Responsible AI implementation: content filters, guardrails, logging and human review.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

Recently Posted Jobs

Explore more opportunities at Capgemini

See more jobs